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Cited 23 time in webofscience Cited 24 time in scopus
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Rapid and label-free bioanalytical method of alpha fetoprotein detection using LSPR chip

Authors
Kim, DongjooKim, JinwoonKwak, Cheol HwanHeo, Nam SuOh, Seo YeongLee, HoominLee, Go-WoonVilian, A. T. EzhilHan, Young-KyuKim, Woo-SikKim, Gi-bumKwon, SoonjoHuh, Yun Suk
Issue Date
1-Jul-2017
Publisher
ELSEVIER SCIENCE BV
Keywords
Alpha fetoprotein; Localized surface plasmon resonance; Gold nanoparticles; Self-assembled method; Biosensor chip
Citation
JOURNAL OF CRYSTAL GROWTH, v.469, pp 131 - 135
Pages
5
Indexed
SCI
SCIE
SCOPUS
Journal Title
JOURNAL OF CRYSTAL GROWTH
Volume
469
Start Page
131
End Page
135
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/24788
DOI
10.1016/j.jcrysgro.2016.09.066
ISSN
0022-0248
1873-5002
Abstract
Alpha fetoprotein (AFP) is a cancer marker, particularly for hepatocellular carcinoma. Normal levels of AFP are less than 20 ng/mL; however, its levels can reach more than 400 ng/mL in patients with HCC. Enzyme linked immunosorbent assay (ELISA) and radioimmunoassay (RIA) have been employed for clinical diagnosis of AFP; however, these methods are time consuming and labor intensive. In this study, we developed a localized surface plasmon resonance (LSPR) based biosensor for simple and rapid detection of AFP. This biosensor consists of a UV Vis spectrometer, a cuvette cell, and a biosensor chip nanopatterned with gold nanoparticles (AuNPs). In our LSPR biosensor, binding of AFP to the surface of the sensor chip led to an increasing magnitude of the LSPR signals, which was measured by an ultraviolet-visible (UV Vis) spectrometer. Our LSPR biosensor showed sufficient detectability of AFP at concentrations of 1 ng/mL to 1 Kg/mL. Moreover, the overall procedure for detection of AFP was completed within 20 min. This biosensor could also be utilized for a point of care test (POCT) by employing a portable UV Vis spectrometer. Owing to the simplicity and rapidity of the detection process, our LSPR biosensor is expected to replace traditional diagnostic methods for the early detection of diseases.
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College of Engineering (Department of Energy and Materials Engineering)
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